harvenstar
Joined 7 months ago
Karma
5
Submissions
19
Member since
Mar 10
Recent submissions
Comment · 7 months ago
Comment · 7 months ago
Thanks for support!
Comment · 7 months ago
I built AgentClick because I kept getting burned by AI agents acting too fast.
The pattern is always the same: you ask Claude Code or Codex to do something, it generates a response, you get a y/n prompt in the terminal, and you approve it without really reading it. Then it sends the wrong email, runs a destructive command, or commits to a plan you'd never agree to if you actually saw it laid out.
The core problem: terminal y/n is not a real review step.
AgentClick adds a browser-based review layer between "agent proposes" and "agent executes." The agent drafts something, a UI opens in your browser, you can actually read, edit, and approve it visually — then the agent continues.
It works as a skill/plugin for: - Claude Code - Codex - OpenClaw - Any agent that can call HTTP tools
What you can review: - Email drafts and inbox triage - Shell commands before execution - Multi-step plans - Memory updates
The key difference from just adding a confirmation step: you can actually edit the content, not just approve/reject. Change the tone of an email, fix a command flag, remove a step from a plan — then let the agent proceed.
Install: `npm install -g @harvenstar/agentclick`
Works locally on localhost, or use `--remote` for a Cloudflare tunnel to review from your phone.
MIT licensed, open source: https://github.com/agentlayer-io/AgentClick
Comment · 7 months ago
Glad it clicked! Good luck with the project.
The core problem: terminal y/n is not a real review step.
AgentClick adds a browser-based review layer between "agent proposes" and "agent executes." The agent drafts something, a UI opens in your browser, you can actually read, edit, and approve it visually — then the agent continues.
It works as a skill/plugin for: - Claude Code - Codex - OpenClaw - Any agent that can call HTTP tools
What you can review: - Email drafts and inbox triage - Shell commands before execution - Multi-step plans - Memory updates
The key difference from just adding a confirmation step: you can actually edit the content, not just approve/reject. Change the tone of an email, fix a command flag, remove a step from a plan — then let the agent proceed.
Install: `npm install -g @harvenstar/agentclick`
Works locally on localhost, or use `--remote` for a Cloudflare tunnel to review from your phone.
MIT licensed, open source: https://github.com/agentlayer-io/AgentClick